RRepoGEO

REPOGEO REPORT · LITE

ZhengYinan-AIR/Diffusion-Planner

Default branch main · commit a3a621f0 · scanned 5/30/2026, 6:08:20 AM

GitHub: 987 stars · 151 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface ZhengYinan-AIR/Diffusion-Planner, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highreadme#2
    Reposition README's opening sentence for clearer categorization

    Why:

    CURRENT
    The official implementation of **Diffusion Planner**, which **represents a pioneering effort in fully harnessing the power of diffusion models for high-performance motion planning, without overly relying on refinement**.
    COPY-PASTE FIX
    Diffusion Planner provides a cutting-edge, diffusion-model-based solution for high-performance motion planning in autonomous driving, designed for flexible guidance and robust real-world application.
  • mediumtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    autonomous-driving, diffusion-models, imitation-learning, motion-planning, pytorch
    COPY-PASTE FIX
    autonomous-driving, diffusion-models, imitation-learning, motion-planning, pytorch, autonomous-vehicles, trajectory-planning, generative-ai-for-robotics, robot-motion-planning

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface ZhengYinan-AIR/Diffusion-Planner
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apollo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Apollo · recommended 1×
  2. Autoware.AI/Autoware.Auto · recommended 1×
  3. ROS · recommended 1×
  4. MoveIt! · recommended 1×
  5. ROS Navigation Stack · recommended 1×
  • CATEGORY QUERY
    What are effective AI planning solutions for autonomous driving with flexible guidance?
    you: not recommended
    AI recommended (in order):
    1. Apollo
    2. Autoware.AI/Autoware.Auto
    3. ROS
    4. MoveIt!
    5. ROS Navigation Stack
    6. OpenPlanner
    7. ACADO Toolkit
    8. OSQP
    9. CasADi
    10. Stable Baselines3
    11. Ray RLlib
    12. BehaviorTree.CPP

    AI recommended 12 alternatives but never named ZhengYinan-AIR/Diffusion-Planner. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can diffusion models be applied for robust motion planning in autonomous vehicles?
    you: not recommended
    AI recommended (in order):
    1. Diffuser
    2. Diffusion Policy
    3. PyTorch
    4. TensorFlow
    5. Diffusers
    6. Waymo's Motion Prediction with Diffusion
    7. Soft Actor-Critic
    8. Proximal Policy Optimization

    AI recommended 8 alternatives but never named ZhengYinan-AIR/Diffusion-Planner. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of ZhengYinan-AIR/Diffusion-Planner?
    pass
    AI named ZhengYinan-AIR/Diffusion-Planner explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts ZhengYinan-AIR/Diffusion-Planner in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name ZhengYinan-AIR/Diffusion-Planner — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo ZhengYinan-AIR/Diffusion-Planner solve, and who is the primary audience?
    pass
    AI did not name ZhengYinan-AIR/Diffusion-Planner — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)
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ZhengYinan-AIR/Diffusion-Planner — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite